Xiao Liu
Senoir Research Engineer at Huawei
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolXiao Liu is a senior research engineer at Huawei with eight years of experience at the intersection of deep learning and medical image analysis. He holds a PhD from the University of Edinburgh where he specialized in disentangled representation learning and was supported by the Royal Academy of Engineering and Canon Medical Research Europe. Xiao has transitioned research into applied settings at Canon Medical Research Europe and mentors students on privacy-aware machine learning projects, demonstrating a pragmatic focus on deployment and ethics. He combines a strong signal-processing foundation with hands-on experience in image-to-image translation from earlier work at Xiamen University. Based in Edinburgh, he bridges academic rigor and industry impact, routinely moving models from concept to clinically relevant applications. A detail often overlooked: his background spans both UK and Chinese research environments, giving him a broad perspective on collaborative, cross-cultural R&D.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Healthcare AI, Doctor of Philosophy - PhD Healthcare AI at The University of EdinburghBachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Xiamen University
Chinese, English
Github Skills (6)
meta-learning9
medical-image-segmentation8
segmentation7
imaging7
pytorch3
tensorflow3
Programming languages (1)
Github contributions (5)
xxxliu95/DGNet
Jun 2021 - Nov 2021
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
Contributions:63 commits, 4 PRs, 53 pushes in 4 months
medical-image-segmentationmeta-learning
xxxliu95/RA_FA_Cardiac
Sep 2020 - Sep 2020
Contributions:39 commits, 38 pushes, 1 branch in 4 days
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